Responsible machine learning (responsible ML)
Develop, use, and govern AI solutions responsibly with Azure AI
Build trusted solutions responsibly with Azure AI
Take advantage of state-of-the-art technology to build responsible AI applications, from development to deployment. Put responsible AI principles into practise in machine learning and cognitive services, and build trust with your customers. Learn how to apply responsible AI in the financial and healthcare industries.
Responsible development of AI solutions for fairness, reliability, and explainability to deliver trusted outcomes
Responsible usage of AI solutions by applying guidance to optimise performance while minimising harm when deployed
Responsible governance of AI solutions for transparency and accountability to achieve positive outcomes
Develop responsibly for fairness and explainability
Assess your machine learning model using the responsible AI dashboard. Evaluate with reproducible and automated workflows to assess model fairness, explainability, error analysis, causal analysis, model performance, and exploratory data analysis.


Use AI solutions responsibly in deployment
Make real-life interventions and policies with causal analysis in the responsible AI dashboard. Generate a responsible AI scorecard for trained machine learning models in your Azure Machine Learning workspace at deployment time.
Govern for transparency and accountability
Export the responsible AI scorecard for your machine learning models to a PDF to contextualize responsible AI metrics. Share it with both technical and non-technical audiences to involve stakeholders and streamline compliance review.


Develop AI Responsibly webinar
Businesses often don't have a clear understanding of machine learning. Bring AI into the business mainstream with responsible machine learning.

IDC report: Empowering Your Organisation with Responsible AI
Learn how to approach responsible AI from an end-to-end development lifecycle perspective.

Driving Business Value with Responsible AI webinar
Watch IDC and Microsoft experts explain how to build responsible AI solutions to cultivate trust in machine learning.
Comprehensive security and compliance, built in
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We employ more than 3,500 security experts dedicated to data security and privacy.
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Get started with an Azure free account
Start free. Get $200 credit to use within 30 days. While you have your credit, get free amounts of many of our most popular services, plus free amounts of 40+ other services that are always free.
After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.
After 12 months, you'll keep getting 40+ always-free services—and still pay only for what you use beyond your free monthly amounts.
Customers using Azure responsible AI
Northumbria Healthcare NHS Foundation Trust
Mike Reed, Consultant Trauma and Orthopedic Surgeon, Northumbria Healthcare NHS Foundation Trust"The responsible AI dashboard will give us a better indication about what would happen to patients requiring hip and knee surgery, which will allow us to have a more meaningful conversation with them as we work to provide the best care possible."

EY
Alex Mohelsky, Partner and Advisory Data, Analytic, and AI Leader, EY Canada"We see Azure Machine Learning and our partnership with Microsoft as critical to driving increased adoption and acceptance of AI from the regulators."

Resources
Tools
See responsible ML in action
Build your machine learning skills with Azure
Learn more about machine learning on Azure and participate in hands-on tutorials with a 30-day learning journey. By the end, you'll be prepared to take the Azure Data Scientist Associate Certification.